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In-person
1-4 April 2025
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Please note: This schedule is automatically displayed in British Summer Time (BST) (UTC +1). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis. 
Friday April 4, 2025 14:30 - 15:00 BST
The Kubernetes API is awesome and so tempting to use, especially when building Observability Solutions. Nobody wants to just get raw IP addresses and ports in their network or request telemetry, it’s much better to see your pod and service metadata. But what’s even better is that getting information about all the nodes in your cluster can help you produce amazing service graphs.

This talk is a story of how we took down the Kubernetes API in our biggest production cluster at Grafana, by deploying observability tools which make heavy use of the Kubernetes API. We’ll show you the techniques we used to avoid repeating our mistakes, by applying configuration changes and building services which helped us shield the Kubernetes API from the information thirsty observability tools, while keeping the functionality intact.
Speakers
avatar for Mario Macías

Mario Macías

Staff Software Engineer, Grafana
I love programming since I was 12 years old. I’m a software engineer with 20 years of experience. During that time, I’ve been a scientific researcher, Ph.D student, university teacher, backend developer, and book writer. During the last 7 years I've focused on monitoring and observability... Read More →
avatar for Terra Tauri

Terra Tauri

Staff Software Engineer, Grafana Labs
terra is a Platform Network Engineer at Grafana Labs measuring beeps and boops for software that measures beeps and boops. Grafana ingests petabytes of data every single day and the Platform Networking squad is responsible for ensuring every one of those o11y packets makes it into... Read More →
Friday April 4, 2025 14:30 - 15:00 BST
Level 0 | ICC Auditorium
  Operations + Performance

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